Control charts approach for scenario recognition in video sequences

Ersin Elbasi, Long Zuo, Kishan Mehrotra, Chilukuri Mohan, Pramod Varshney

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

A new approach, based on control charts, is presented for the task of recognition of events and scenarios in video image sequences. For each image in the sequence, low level image processing and feature extraction steps result in feature descriptors for objects of interest detected in the images. Control charts analysis is then explored to classify the nature of the activity depicted by the temporal changes in these features over the image sequence. Scenario recognition with higher accuracy is achieved using this simple approach.

Original languageEnglish (US)
Pages (from-to)303-309
Number of pages7
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume13
Issue number3
StatePublished - Dec 1 2005

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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